{"id":"W4386022010","doi":"10.1111/icad.12682","title":"Existing flower preference metrics disagree on best plants for pollinators: which metric to choose?","year":2023,"lang":"en","type":"article","venue":"Insect Conservation and Diversity","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon City Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Conservation Association","keywords":"Pollinator; Metric (unit); Preference; Abundance (ecology); Pollination; Biology; Ecology; Statistics; Mathematics; Economics; Pollen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001846739,0.00008854524,0.000114042,0.00005624079,0.0007050431,0.00004488198,0.0001114772,0.00004841766,0.0000180252],"category_scores_gemma":[0.0005024566,0.00004125939,0.00002821713,0.001053239,0.00001425875,0.00007498566,0.0002053592,0.0000469283,0.00004834711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000173712,"about_ca_system_score_gemma":0.00000375729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009711434,"about_ca_topic_score_gemma":0.004277373,"domain_scores_codex":[0.999362,0.00001923063,0.00008507197,0.0002075298,0.0001556927,0.0001704619],"domain_scores_gemma":[0.9991845,0.0005908422,0.00003817809,0.00001558549,0.00009478815,0.00007612166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000294584,0.00008952551,0.9388533,0.00002171659,0.00003284329,0.000005311263,0.0004468707,0.00000395484,0.00538796,0.0007174799,0.01328217,0.04086431],"study_design_scores_gemma":[0.0001561088,0.0002072801,0.988581,0.00001846016,0.00000871023,4.666097e-7,0.0003649883,0.0001329008,0.00024002,0.0001928845,0.009978184,0.0001189655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970863,0.00003053218,0.000003966002,0.0012721,0.0000752592,0.0001838611,0.0003100446,0.00007339613,0.000964509],"genre_scores_gemma":[0.9986806,0.00008168419,0.00002818155,0.0005117092,0.00006330157,0.000005903726,0.00004985836,4.279038e-7,0.0005783233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04972776,"threshold_uncertainty_score":0.5422692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3242031572140225,"score_gpt":0.271429835188686,"score_spread":0.05277332202533658,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}